A Framework using Contrastive Learning for Classification with Noisy Labels.
Madalina CiortanRomain DupuisThomas PeelPublished in: CoRR (2021)
Keyphrases
- supervised learning
- incremental learning
- learning scheme
- multi category
- learning process
- classification accuracy
- learning problems
- pattern recognition
- learning systems
- kernel learning
- distance metric learning
- learning mechanism
- unsupervised learning
- active learning
- video classification
- prior knowledge
- class labels
- learning tasks
- decision trees
- learning algorithm
- multi label learning
- learning frameworks
- learning phase
- discriminative methods
- positive examples
- co training
- support vector machine svm
- training samples
- probabilistic model
- feature vectors
- learning environment
- reinforcement learning
- e learning